The invention discloses a vehicle afflux sequence optimization method based on adjacent vehicle probability motion prediction. The method comprises the following steps: numbering all main lane vehicles in an afflux control area; the ramp vehicle receives the position and speed information of the main road vehicle in the control area from the roadside controller; constructing a vehicle driving behavior classifier by adopting a Gaussian mixture model, and solving the probability that adjacent vehicles belong to each driving behavior category; adopting an adjacent vehicle probabilistic motion prediction method considering the driving behavior to predict the motion trail of the adjacent vehicle; and designing a cumulative energy consumption cost function, constructing a convergence order optimization problem of the ramp vehicles, and solving an optimal convergence order of the ramp vehicles. According to the method, the Gaussian mixture model and the intelligent driver model are combined, on the basis of probability motion prediction of the adjacent vehicles, the convergence sequence optimization problem of the ramp vehicles with the lowest energy consumption as the target is constructed, the optimal convergence sequence of the ramp vehicles is solved, and the energy-saving economy of the ramp vehicles in the convergence process is improved.
本发明公开了一种基于相邻车辆概率运动预测的车辆汇入次序优化方法,包括:对汇入控制区域内所有主道车辆编号;匝道车辆从路侧控制器处接收汇入控制区域内主道车辆的位置、速度信息;采用高斯混合模型构建车辆驾驶行为分类器,并求解相邻车辆属于各驾驶行为类别的概率;采用考虑驾驶行为的相邻车辆概率运动预测方法,预测相邻车辆运动轨迹;设计累积能耗代价函数,构建匝道车辆的汇入次序优化问题,求解匝道车辆的最优汇入次序。本发明结合高斯混合模型和智能驾驶员模型,基于对相邻车辆的概率运动预测,构建以能耗最低为目标的匝道车辆的汇入次序优化问题,求解匝道车辆的最优汇入次序,提高了匝道车辆在汇入过程的节能经济性。
Vehicle afflux order optimization method based on adjacent vehicle probabilistic motion prediction
一种基于相邻车辆概率运动预测的车辆汇入次序优化方法
29.09.2023
Patent
Elektronische Ressource
Chinesisch
IPC: | G08G Anlagen zur Steuerung, Regelung oder Überwachung des Verkehrs , TRAFFIC CONTROL SYSTEMS |
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